Evolutionary computation approach to multi mission waveform design

Existing surveillance platforms are expensive to operate and are limited to a single function. Radar technology currently supports the development of systems capable of addressing multiple missions. However, existing waveform design approaches do not permit the accomplishment of these multiple tasks at the same time. This paper introduces the concept of using an evolutionary computation approach for waveform optimization for a diverse set of multi-mission concepts. Evolutionary computation searches the solution space through the use of simulated evolution. The fittest individuals (waveform suites) tend to reproduce and survive to the next generation, thus improving successive generations. Multi-mission radar concepts are possible addressing simultaneous air and ground moving target indication and radar imaging. Other potential radar applications include airport control radars performing simultaneous aircraft, weather, and bird hazard surveillance.